PrivateExplainableVideoProccessing

Prexable is a user-friendly, web-based video analysis platform that lets anyone train and understand their own AI models privately and securely—no expertise required. Unlike typical black-box solutions, Prexable ensures transparency, privacy, and full user control over data.

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WhatWeDo?

Prexable is the first explainable private video processing product

with the following unique features:

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Explainable AI

Ways to help users understand and trust how AI makes decisions.

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Privacy

No need to upload your confidential videos to our servers.

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Drag and drop

The simple, drag and drop Prexable interface makes it perfect for non-expert users. 

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Cost effective

Cloud-based public and semi-private modes make Prexable completely scalable and cost effective. 

All-In-OneProduct

Prexable provides one single interface for the three mostly used video processing application:

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Detection

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Tracking

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Recognition

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PrexablePast,CurrentandFuturePhases

Phase I – Object Detection & Tracking
We implement advanced computer vision algorithms to automatically detect and track objects within video streams, enabling real-time analysis and monitoring of dynamic scenes.

 

Phase II – Authentication & Recognition
This phase adds intelligent video authentication, facial and object recognition capabilities to identify subjects and verify identity with high accuracy across frames.

 

Phase III – Video Annotation Tools
We develop intuitive video annotation features that allow users to label, tag, and manage visual data for training, auditing, or review, supporting human-in-the-loop workflows.

 

Phase IV – Explainable AI & Result Review
Our platform integrates explainable AI (XAI) modules that clarify how decisions are made, along with review tools for validating outcomes, boosting trust and transparency in the system.

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Already in use

Object detection (PI), tracking (PI), authentication (PII) and recognition (PII) in video

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Under development

Video annotation (PIII)

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Future steps

XAI and review results features 

LatestBlogs
Explainable AI at the Edge: Bringing Transparency to Real-Time Vision
3 min read July 28, 2025

Explainable AI at the Edge: Bringing Transparency to Real-Time Vision

In a world increasingly shaped by AI, trust and transparency are no longer optional—they are essential. This is also true in real-time vision systems deployed at the edge, where decisions need to be not only fast but also understandable. From smart agriculture and industrial inspection to autonomous mobility and portable healthcare devices, the combination of Edge AI and Explainable AI (XAI) is transforming how machines see and explain what they see.

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How Federated Learning is Transforming Privacy-Preserving Video Analytics on the Edge
4 min read July 8, 2025

How Federated Learning is Transforming Privacy-Preserving Video Analytics on the Edge

As the adoption of AI-powered video analytics grows—from smart cities and traffic management to healthcare and retail surveillance—so does the concern about privacy. Traditional video analytics systems require footage to be uploaded to centralized servers for processing. But this model poses serious risks: data breaches, bandwidth limitations, and non-compliance with data protection regulations like GDPR and HIPAA. Enter Federated Learning—a revolutionary approach to AI training that keeps raw data exactly where it originates: on the edge devices. In this post, we explore how federated learning is reshaping privacy-first video analytics and how tools like Prexable can help democratize access to these technologies.

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The Power of Perception: How Deep Learning is Redefining Object Tracking
4 min read May 25, 2025

The Power of Perception: How Deep Learning is Redefining Object Tracking

In a world increasingly reliant on visual data, object tracking stands out as one of the most powerful applications of computer vision. Thanks to deep learning, machines can now track moving objects in real time with unprecedented accuracy. This advancement is not only revolutionizing technology—it’s reshaping industries. Here’s how deep learning is breathing new life into object tracking.

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Artificial Intelligence: Revolutionizing Human Biometric Recognition
3 min read February 20, 2025

Artificial Intelligence: Revolutionizing Human Biometric Recognition

In recent years, Artificial Intelligence (AI) has significantly transformed the field of biometric recognition, enhancing the accuracy and efficiency of systems that identify individuals based on unique physiological and behavioral characteristics. This integration has led to advancements in various biometric modalities, including facial recognition, fingerprint analysis, iris scanning, and behavioral pattern recognition.

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Unlocking the Future: Real-time Face Recognition – Tools and Cutting-Edge Algorithms You Need to Know
3 min read January 29, 2025

Unlocking the Future: Real-time Face Recognition – Tools and Cutting-Edge Algorithms You Need to Know

As Prexable moves into the second phase of its development journey, we are focusing on enhancing user authentication through advanced technologies. Among the methods we’re exploring, Face Recognition and Activity Recognition stand out as pivotal components in shaping secure and seamless experiences. This blog post is the first in a series that will delve deeper into these technologies, starting with real-time face recognition—a cornerstone of modern authentication solutions. Real-time face recognition has revolutionized industries by offering a blend of convenience and security, making it an essential tool for applications ranging from smartphone unlocking to enterprise-level access control. In this article, we will uncover the most impactful open-source libraries and tools, along with the cutting-edge algorithms that power them.

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The Rise and Impact of Cloud-Based Video Surveillance Solutions
5 min read December 16, 2024

The Rise and Impact of Cloud-Based Video Surveillance Solutions

In an era characterized by rapid technological advancement, businesses, governments, and even individual homeowners are rethinking how they manage and monitor their physical spaces. Traditional, on-premises surveillance systems—cumbersome arrays of cameras, cables, and storage devices—are giving way to cloud-based video surveillance solutions. These platforms promise greater flexibility, enhanced security, and the ability to scale and adapt as needs evolve. As a result, more and more organizations across a wide range of industries are making the switch to a new generation of scalable security solutions. Before we dive deeper, it’s worth noting that innovations in this space are making powerful surveillance technology accessible to a broader audience. One such example is Prexable, an online, drag-and-drop video processing platform that allows users—regardless of their AI expertise—to train, understand, and debug their own personalized surveillance models. With Prexable, you can get started quickly, secure your spaces more efficiently, and ensure your operations are always up to speed. Try Prexable today and experience the benefits of AI-driven video analytics firsthand.

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The Intersection of Explainable AI and Large Language Models
2 min read October 10, 2024

The Intersection of Explainable AI and Large Language Models

Large Language Models (LLMs) such as GPT-4 and BERT have revolutionized natural language processing, but their complexity and “black box” nature present significant challenges in understanding their decision-making processes. Explainable AI (XAI) offers a solution by providing methods that make these models more interpretable, which is essential for fostering trust and transparency in high-stakes environments like healthcare, finance, and legal systems.

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